CN-122005985-A - Parameter intelligent configuration method and system for hemodialysis device

CN122005985ACN 122005985 ACN122005985 ACN 122005985ACN-122005985-A

Abstract

The invention relates to the technical field of dynamic regulation and control of hemodialysis, in particular to an intelligent parameter configuration method and system of a hemodialysis device. The invention firstly acquires an initial capacity response coefficient and a relaxed state pulse amplitude value, further extracts a tube wall shrinkage ratio, acquires a corrected capacity response coefficient by combining the initial capacity response coefficient, acquires a blood vessel recharging rate by comparing a real-time removal rate of an ultrafiltration pump by combining the corrected capacity response coefficient based on the instantaneous change of a capacity attenuation fundamental wave, further acquires a hemodynamic load index, and finally acquires a current rigidity demand rate based on a global task state variable, and configures parameters of a hemodialysis device according to the current hemodynamic load index, the rigidity demand rate and the blood vessel recharging rate, thereby effectively solving the problem of estimation deviation of a traditional linear model on the recharging rate due to vascular shrinkage and realizing the transition from hysteresis feedback to prospective self-adaptive control.

Inventors

ZHANG JIAN
LI XUE
YAN SHANSHAN
PANG QINGHUA

Assignees

中国人民解放军总医院第一医学中心

Dates

Publication Date: 20260512
Application Date: 20260323

Claims (10)

1. An intelligent parameter configuration method for a hemodialysis device, the method comprising: Acquiring an initial capacity response coefficient and a relaxation state pulse amplitude value in a preset initial calibration time window; Obtaining a vessel wall shrinkage ratio by combining the relaxed state pulse amplitude according to the fluctuation of the current inner tube wall pulse wave data in a preset neighborhood window, and obtaining a corrected capacity response coefficient by combining the current vessel wall shrinkage ratio and the initial capacity response coefficient; The method comprises the steps of comparing the current blood vessel recharging rate with the real-time removing rate, combining the distribution of capacity attenuation fundamental waves to obtain a hemodynamic load index, obtaining the current rigidity demand rate based on a global task state variable, and configuring parameters of a hemodialysis device according to the current hemodynamic load index, the rigidity demand rate and the blood vessel recharging rate.
2. The method for intelligently configuring parameters of a hemodialysis apparatus according to claim 1, wherein the method for acquiring the hemodynamic load index comprises: The method comprises the steps of comparing the current vascular recharging rate with the real-time removing rate, obtaining a dynamic supply and demand factor, obtaining a static inventory factor according to the approximation degree of a capacity attenuation fundamental wave distance from a preset capacity critical value, and obtaining a hemodynamic load index by fusing the current dynamic supply and demand factor and the static inventory factor.
3. The method for intelligently configuring parameters of a hemodialysis apparatus according to claim 1, wherein the method for obtaining the rigidity demand rate comprises: The method comprises the steps of obtaining a residual task amount based on a preset total ultrafiltration target amount and the current and previous real-time removal rate, obtaining a current residual dialysis duration based on a preset total dialysis duration, and obtaining a current rigidity demand rate by fusing the residual task amount and the residual dialysis duration.
4. The method for intelligently configuring parameters of a hemodialysis apparatus according to claim 1, wherein the method for configuring parameters of a hemodialysis apparatus comprises: when the hemodynamic load index is suddenly changed, a safe maintenance mode is entered, and the minimum value of the current rigidity demand rate and the preset safe flow rate upper limit is used as the target removal rate at the next moment; And when the safe keeping mode is not entered, according to the distribution of the hemodynamic load index, combining the rigidity requirement rate, and acquiring a target removal rate at the next moment.
5. The method according to claim 4, wherein when the safety maintenance mode is not entered, if the hemodynamic load index is smaller than a preset comfort threshold, increasing the current rigidity demand rate according to a difference between the hemodynamic load index and the preset comfort threshold, and obtaining a target removal rate at a next time; If the hemodynamic load index is greater than or equal to a preset comfort threshold and less than a preset alert threshold, taking the minimum of the current vascular recharging rate and the rigidity demand rate as a target removal rate at the next moment; If the hemodynamic load index is larger than or equal to a preset warning threshold value, reducing the current blood vessel recharging rate based on a preset recovery coefficient, and acquiring a target removal rate at the next moment.
6. The method for intelligently configuring parameters of a hemodialysis apparatus according to claim 4 or 5, further comprising, after obtaining the target removal rate: and comparing the current real-time removal rate with the target removal rate at the next moment, and adjusting the target removal rate by a preset maximum flow rate change amplitude.
7. The method for intelligently configuring parameters of a hemodialysis apparatus according to claim 1, wherein the method for acquiring the vascular refill rate comprises: Obtaining the current transient change rate of the capacity attenuation fundamental wave, fusing the transient change rate and the correction capacity response coefficient, obtaining the current capacity net reduction rate, and deducting the capacity net reduction rate from the real-time removal rate to obtain the blood vessel recharging rate.
8. The method for intelligently configuring parameters of a hemodialysis apparatus according to claim 1, wherein the method for acquiring the correction capacity response coefficient comprises: and mapping the pipe wall shrinkage ratio by using a nonlinear correction factor, correcting the initial capacity response coefficient, and obtaining the current corrected capacity response coefficient.
9. The method for intelligently configuring parameters of a hemodialysis apparatus according to claim 1, wherein the method for obtaining the tube wall shrinkage ratio comprises the steps of: And comparing the root mean square value of the pulse wave data of the inner tube wall in the current preset neighborhood window with the relaxed state pulse amplitude value to obtain the tube wall shrinkage ratio.
10. A parameter intelligent configuration system of a hemodialysis device, the system comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of a parameter intelligent configuration method of a hemodialysis device according to any one of claims 1-9.

Description

Parameter intelligent configuration method and system for hemodialysis device Technical Field The invention relates to the technical field of dynamic regulation and control of hemodialysis, in particular to an intelligent parameter configuration method and system of a hemodialysis device. Background During hemodialysis treatment, the core goal of ultrafiltration control is to remove excess water accumulated in the patient over a limited treatment period while avoiding complications such as hypotension due to too fast removal rates. Current dialysis devices are typically based on an on-line blood volume monitoring technique that measures the trend of Relative Blood Volume (RBV) and adjusts the ultrafiltration rate based on the trend. However, existing control strategies generally assume that the compliance of the vascular system remains constant during treatment, and that the ultrafiltration rate is feedback-regulated directly on the decreasing slope of the relative blood volume. In fact, when the effective circulating blood volume is reduced by ultrafiltration, compensatory vasoconstriction occurs in the human body, resulting in a reduced vascular compliance (i.e. stiffening of the blood vessel). At this time, even though the rate of refill of interstitial fluid remains variable, the hardened blood vessels will cause the relative blood volume readings to exhibit a more dramatic decrease in relative blood loss than is practical. The prior art ignores the change of the physical characteristics caused by vasoconstriction, and easily misjudges the tendency of the accelerated decline of the relative blood volume caused by the decline of the vascular compliance as insufficient tissue recharging capability or excessive dehydration, thereby erroneously limiting the ultrafiltration rate, resulting in reduced treatment efficiency and difficulty in accurately matching the actual physiological bearing capability of a patient. Disclosure of Invention In order to solve the technical problem of inaccurate ultrafiltration control caused by ignoring compliance change caused by vasoconstriction in the prior art, the invention aims to provide a parameter intelligent configuration method and system of a hemodialysis device, and the adopted technical scheme is as follows: a method for intelligently configuring parameters of a hemodialysis device, the method comprising: Acquiring an initial capacity response coefficient and a relaxation state pulse amplitude value in a preset initial calibration time window; Obtaining a vessel wall shrinkage ratio by combining the relaxed state pulse amplitude according to the fluctuation of the current inner tube wall pulse wave data in a preset neighborhood window, and obtaining a corrected capacity response coefficient by combining the current vessel wall shrinkage ratio and the initial capacity response coefficient; The method comprises the steps of comparing the current blood vessel recharging rate with the real-time removing rate, combining the distribution of capacity attenuation fundamental waves to obtain a hemodynamic load index, obtaining the current rigidity demand rate based on a global task state variable, and configuring parameters of a hemodialysis device according to the current hemodynamic load index, the rigidity demand rate and the blood vessel recharging rate. Further, the method for obtaining the hemodynamic load index comprises the following steps: The method comprises the steps of comparing the current vascular recharging rate with the real-time removing rate, obtaining a dynamic supply and demand factor, obtaining a static inventory factor according to the approximation degree of a capacity attenuation fundamental wave distance from a preset capacity critical value, and obtaining a hemodynamic load index by fusing the current dynamic supply and demand factor and the static inventory factor. Further, the method for obtaining the rigidity requirement rate comprises the following steps: The method comprises the steps of obtaining a residual task amount based on a preset total ultrafiltration target amount and the current and previous real-time removal rate, obtaining a current residual dialysis duration based on a preset total dialysis duration, and obtaining a current rigidity demand rate by fusing the residual task amount and the residual dialysis duration. Further, the method for configuring parameters of a hemodialysis apparatus includes: when the hemodynamic load index is suddenly changed, a safe maintenance mode is entered, and the minimum value of the current rigidity demand rate and the preset safe flow rate upper limit is used as the target removal rate at the next moment; And when the safe keeping mode is not entered, according to the distribution of the hemodynamic load index, combining the rigidity requirement rate, and acquiring a target removal rate at the next moment. Further, when the safety maintenance mode is not entered, if the hemodynamic load index is s